双基地MIMO雷达目标快速定位算法

Target Rapid Location For Bistatic MIMO Radar

  • 摘要: 基于多级维纳滤波器(MSWF)的双基地多输入多输出(MIMO)雷达定位算法,能够有效的降低计算复杂度,但是会带来信号子空间的扩展问题,降低算法性能。因此本文提出了一种新的目标快速定位算法。首先根据MSWF的自相关模值的特点确定需要的MSWF级数,得到扩展子空间;其次利用ESPRIT方法得到目标的初始发射角(DOD)和接收角(DOA),最后利用判别准则从初始目标角度得到真实目标角度,并完成目标收发角度的配对。算法不需要特征值分解,计算复杂度较低,并且充分利用了扩展子空间,具有更高的角度估计性能。

     

    Abstract: A target location method which based on modified multistage wiener filtering (MSWF) can effectively reduce the computational complexity in bistatic multiple-input multiple-output (MIMO) radar. The method can lead to the expansion of the signal subspace, reduce the algorithm performance. So a new target rapid location method is proposed. Firstly, the series of MSWF is determined by using autocorrelation modulus values which is used to get the expanding subspace. Secondly the initial direction of departure (DOD) and direction of arrival (DOA) can be estimated combining with the subspace kind algorithms such as ESPRIT. Last the real target angle can be obtained from the initial angle by criteria and the automatic pairing of target angle is achieved. Because this algorithm has make full use of the expanding subspace without matrix eigenvalue decomposition, it has higher angle estimation precision and lower computational complexity.

     

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